基于动态变量的量子态的自适应计算

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper investigates a novel approach to quantum computation based on dynamically adjusted qubit states. Traditional quantum algorithms often struggle with the significant environmental noise that limits their performance. We propose a system where the quantum state is continuously perturbed based on internal parameters, dynamically adapting to minimize noise and maximize computational efficiency. This modification leverages the unique properties of quantum entanglement to enable novel computations that are difficult to achieve with traditional methods. The core mechanism involves implementing a feedback loop that constantly adjusts the qubit parameters to achieve the optimal state. We present a theoretical framework and preliminary experimental results demonstrating the potential for enhanced computational performance through this dynamic adjustment strategy. The paper concludes with a discussion of the implications for future quantum algorithm development and the challenges associated with implementing this approach.

DOI: 10.5281/zenodo.22582975

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